A new buzzword has been doing the rounds recently: "Conversational Search". Google has been applying this technology to certain search queries since this year. In this article, we explain what it is all about and how it could change search engine optimization. Up until now, a search query stood more or less on its own.
The user entered it and if they did not get the right search results, they refined the search query. Even if a user searched for several aspects of the same topic, each search query stood on its own. Now Google has started to react to the previous queries in search queries. Imagine a conversation. A normal conversation builds up gradually and one conversation partner usually reacts to what the other person says. Thanks to the use of artificial intelligence, algorithms are now better able to understand the user's actual search intent. This benefits the new technology.
How does conversational search work? An example.
Until now, the search worked something like this: The user searches for "gingerbread recipe." The search results are recipes for gingerbread. Immediately after that, the user searches for "baking." The search rcs data philippines results are a definition of the word "baking" from a dictionary.
→ This is exactly where the “Conversational Search” approach comes into play. The user is initially shown the definition of the word “bake” from a dictionary, but together with a link that asks if they would like to know how gingerbread is baked. If the user clicks on this link, that is exactly what they find out.
“Is that all?” some readers will now ask themselves. Yes, at first. To help you understand, here’s a counter question: Imagine you actually want to find out more about the word “bake” – without any reference to your previous search query on the topic of “gingerbread recipe”. Imagine that the search results would then automatically show you hits on the topic of “bake gingerbread” – that would be pretty pointless, wouldn’t it?